The AWS modern data architecture pillars
The AWS modern data architecture allows you to unify the enterprise data landscape by breaking down data silos to derive business value across databases, data lakes, analytics, and machine learning. You can store and move data seamlessly and securely with the right governance control. It consists of five pillars:
- Scalable data lakes
- Purpose-built analytics services
- Unified data access
- Centralized governance
- Performance and cost
A data lake should be scalable to allow an organization to collect and store any volume of data from disparate data sources at different acquisition rates in a centralized data store with high reliability and availability. Amazon’s Simple Storage Service (S3) object storage service could be used to build a data lake with 11 nines of durability and 4 nines of availability. Based on the business and functional requirements, different storage classes of Amazon S3 could be leveraged to...
